Instructions to use distilbert/distilbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="distilbert/distilbert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-cased") model = AutoModelForMaskedLM.from_pretrained("distilbert/distilbert-base-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload combined_speech.wav
#11 opened 9 months ago
by
Ctmarchibald
Upload .sudo_as_admin_successful
#10 opened over 1 year ago
by
ashok2216
Fix the UI
#9 opened over 1 year ago
by
ashok2216
Fix malformed tokenizer_config and add special_tokens_map.json
#5 opened about 3 years ago
by
Xenova
Doubt regarding the score key in the output
#3 opened over 3 years ago
by
surajjoshi